loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
14th Annual IEEE Symposium on Field-Programmable Custom Computing Machines (FCCM'06)
A Programmable, Maximal Throughput Architecture for Neighborhood Image Processing
Napa, California
April 24-April 26
ISBN: 0-7695-2661-6
Reid Porter, Los Alamos National Lab, Los Alamos
Jan Frigo, Los Alamos National Lab, Los Alamos
Maya Gokhale, Los Alamos National Lab, Los Alamos
Christophe Wolinski, IRISA/IFSIC, France
Francois Charot, IRISA/IFSIC, France
Charles Wagner, IRISA/IFSIC, France
We propose a run-time re-configurable architecture for local neighborhood image processing. We discuss how the new architecture can offer improved flexibility to the developer. We show that for a satellite image feature extraction application, our architecture, implemented on Stratix II and Virtex 2 Field Programmable Gate Arrays, achieves similar performance, hardware resource utilization, and throughput as a fully pipelined systolic array architecture.
Citation:
Reid Porter, Jan Frigo, Maya Gokhale, Christophe Wolinski, Francois Charot, Charles Wagner, "A Programmable, Maximal Throughput Architecture for Neighborhood Image Processing," fccm, pp.279-280, 14th Annual IEEE Symposium on Field-Programmable Custom Computing Machines (FCCM'06), 2006
Usage of this product signifies your acceptance of the Terms of Use.